Triple

T16583670
Position Surface form Disambiguated ID Type / Status
Subject Yixian E402898 entity
Predicate contains P35 FINISHED
Object Chengkan E1220962 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chengkan | Statement: [Yixian, contains, Chengkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengkan
Context triple: [Yixian, contains, Chengkan]
  • A. Chengkan chosen
    Chengkan is a historic, well-preserved ancient village in Anhui Province, China, known for its traditional Huizhou architecture and cultural heritage.
  • B. Yasakaji
    Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
  • C. Nouchi
    Nouchi is an Ivorian urban slang and lingua franca that blends French with local African languages and is widely spoken in Abidjan and other parts of Côte d’Ivoire.
  • D. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • E. Gaochi
    Gaochi is the given name of Zhu Gaochi, the Ming dynasty emperor known posthumously as the Hongxi Emperor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999f80c8190852fd4137bc45a80 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007597905881909df7dc49961b6a02 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.